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CVE-2026-24233: CWE-502 Deserialization of Untrusted Data in NVIDIA TensorRT-LLM

0
High
VulnerabilityCVE-2026-24233cvecve-2026-24233cwe-502
Published: 07/14/2026 (07/14/2026, 20:00:37 UTC)
Source: CVE Database V5
Vendor/Project: NVIDIA
Product: TensorRT-LLM

Description

NVIDIA TensorRT-LLM for Linux has a deserialization vulnerability in its restricted unpickler used for model weight deserialization. This flaw allows a local, unauthenticated attacker to deserialize untrusted data, potentially leading to code execution, privilege escalation, data tampering, and information disclosure. The vulnerability is identified as CVE-2026-24233 with a high severity rating and a CVSS score of 8.4. No official patch or remediation guidance has been provided yet by the vendor.

CVSS v3.1

Score 8.4high

Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Affected software

GitHub Actionsmore threats →ai
nvidia/TensorRT-LLM
pkg:github/nvidia/TensorRT-LLM
Affected versions
=0.0

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/21/2026, 22:34:59 UTC

Technical Analysis

CVE-2026-24233 is a deserialization of untrusted data vulnerability (CWE-502) in NVIDIA TensorRT-LLM for Linux. The issue exists in the restricted unpickler component responsible for deserializing model weights. An attacker with local access and no authentication can exploit this flaw to execute arbitrary code, escalate privileges, tamper with data, or disclose sensitive information. The vulnerability has a CVSS 3.1 base score of 8.4, reflecting high impact on confidentiality, integrity, and availability. As of the published date, no patch or official remediation level has been disclosed by NVIDIA.

Potential Impact

Successful exploitation can result in arbitrary code execution, escalation of privileges, unauthorized data modification, and information disclosure on affected systems running NVIDIA TensorRT-LLM. The attacker requires local access but no authentication, increasing the risk in multi-user or shared environments.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, limit local access to trusted users only and monitor for suspicious activity related to TensorRT-LLM usage. Avoid loading untrusted model weights to reduce exposure.

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Technical Details

Data Version
5.2
Assigner Short Name
nvidia
Date Reserved
2026-01-21T19:09:37.972Z
Cvss Version
3.1
State
PUBLISHED
Remediation Level
null

Threat ID: 6a569d1c68715ace432809cf

Added to database: 07/14/2026, 20:33:32 UTC

Last enriched: 07/21/2026, 22:34:59 UTC

Last updated: 08/28/2026, 22:52:09 UTC

Views: 92

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